International audienceThis paper deals with intrusive Galerkin projection methods with Roe-type solver for uncertain hyperbolic systems using a finite volume discretization in physical space and a piecewise continuous representation at the stochastic level. The aim of this paper is to design a cost-effective adaptation of the deterministic Dubois and Mehlman corrector to avoid entropy-violating shocks in the presence of sonic points. The adaptation relies on an estimate of the eigenvalues and eigenvectors of the Galerkin Jacobian matrix of the deterministic system of the stochastic modes of the solution and on a correspondence between these approximate eigenvalues and eigenvectors for the intermediate states considered at the interface. Som...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
International audienceThis paper deals with intrusive Galerkin projection methods with Roe-type solv...
AbstractThis paper deals with intrusive Galerkin projection methods with a Roe-type solver for treat...
AbstractThis paper deals with intrusive Galerkin projection methods with a Roe-type solver for treat...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
On considère des méthodes de Galerkin stochastiques pour des systèmes hyperboliques faisant interven...
This work is concerned with stochastic Galerkin methods for hyperbolic systems involving uncertain d...
This work is concerned with stochastic Galerkin methods for hyperbolic systems involving uncertain d...
Due to rising computing capacities, including and accounting for uncertain (model) parameters in num...
This paper deals with the design of adaptive anisotropic discretization schemes for conservation law...
This paper deals with the design of adaptive anisotropic discretization schemes for conservation law...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
International audienceThis paper deals with intrusive Galerkin projection methods with Roe-type solv...
AbstractThis paper deals with intrusive Galerkin projection methods with a Roe-type solver for treat...
AbstractThis paper deals with intrusive Galerkin projection methods with a Roe-type solver for treat...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
International audienceThis paper deals with spectral stochastic methods for uncertainty propagation ...
On considère des méthodes de Galerkin stochastiques pour des systèmes hyperboliques faisant interven...
This work is concerned with stochastic Galerkin methods for hyperbolic systems involving uncertain d...
This work is concerned with stochastic Galerkin methods for hyperbolic systems involving uncertain d...
Due to rising computing capacities, including and accounting for uncertain (model) parameters in num...
This paper deals with the design of adaptive anisotropic discretization schemes for conservation law...
This paper deals with the design of adaptive anisotropic discretization schemes for conservation law...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...
The study of uncertainty propagation poses a great challenge to design high fidelity numerical metho...